Evidence map›Paper›PMID 39093102›Full record

ArticleWork (Reading, Mass.)2026

Modeling passenger comfort in turboprop aircraft using objective measures.

Yu Wolf Song, Anna S Reichherzer, Xinhe Yao, Gerbera Vledder, Britta Herbig, Michael Bellmann, Victor Norrefeldt, Peter Vink, Neil Mansfield

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Work (Reading, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yu Wolf SongFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Anna S ReichherzerInstitute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU, Munich, Germany.
Xinhe YaoFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Gerbera VledderFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Britta HerbigInstitute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU, Munich, Germany.
Michael BellmannInstitut für technische und angewandte Physik GmbH, Oldenburg, Germany.
Victor NorrefeldtFraunhofer Institute for Building Physics IBP, Fraunhoferstrasse 10, 83626 Valley, Germany.
Peter VinkFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Neil MansfieldDepartment of Engineering, Nottingham Trent University, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundA quantitative comfort model will aid in evaluating comfort levels of various target groups before the actual flight of an airplane. However, constructing the model is always a challenge due to the complexity of the phenomenon.ObjectivesIn this paper, we present quantitative comfort models to predict the (dis)comfort of passengers flying with turboprops based on objective measures.MethodsNinety-seven participants took part in two experiments conducted during real flights, during which forty of them had environmental and personal factors recorded using (self-developed) measurement tools. The collected data were analyzed to model the relations between objective measures and subjective feelings.ResultsTwo preliminary models based on gradient boosting regression were developed. The models were able to predict the changes in comfort and discomfort of individual passengers with an accuracy of 0.12±0.01 and 0.21±0.01 regarding normalized comfort and discomfort scores, respectively. Additionally, contributions of different factors were highlighted.ConclusionThe outcomes of the models show that we took a step forward in modeling the human comfort experience using objective measurements. Anthropometry (including age), seat positions, time duration, and row (noise) emerged as leading factors influencing the feeling of (dis)comfort in turboprop planes.

Indexed as

AircraftErgonomicsAdultFemaleHumansMaleMiddle AgedComfortdiscomfortmodelturboprop

Identifiers

PMID39093102
PMCPMC12769937

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.